Recently, crowd counting has become a research hotspot owing to its wide applications including public safety management [1]}, crowd analysis [2]}, and urban planning [3]}. Besides, the methods of crowd counting have important references in vehicle counting, cell counting, and other objects counting [4]}. However, due to the crowd's complexity such as severe occlusion, high diversity, scale variation, view-point variation, and non-uniform distribution, the accuracy of crowd counting still has significant room for improvement.
